EAS 6660

Last Updated

  • Schedule of Classes - June 22, 2015 4:42PM EDT
  • Course Catalog - June 11, 2015 6:21PM EDT

EAS 6660
Applied Multivariate Statistics

Course information provided by the 2014-2015 Catalog.

Statistical techniques for multivariable data. Topics include multivariate exploratory data analysis, the multivariate normal distribution, parametric and nonparametric inference about multivariate means, principal component analysis, canonical correlation analysis, discriminant analysis, and cluster analysis. Emphasizes geophysical applications, using primarily atmospheric and oceanographic data as examples, but the development is general enough to be of broader interest.


Prerequisites/Corequisites Prerequisite: multivariate calculus, matrix algebra, and two statistics courses.

When Offered Spring.

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Syllabi: none

  •   Regular Academic Session. 

  • 3 Credits Graded

  • 16881 EAS 6660   LEC 001

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  • Instruction Mode: In Person

    Prerequisite: multivariate calculus, matrix algebra, and two statistics courses.